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Cognigy Agentic AI Engineer
CGF CounselGroupFrankfurt AG. Move an existing customer solution built on Cognigy low-code toward a fully agentic architecture .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Cognigy's Agentic AI capabilities, focusing on agent-based dialog flows and autonomous task orchestration. Proficient in integrating LLMs and designing conversational flows for optimal performance.
Highest-signal resume keywords
Cognigy Agentic AIAgent-Based Dialog FlowsAutonomous Task OrchestrationLLM IntegrationConversational Flow Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cognigy.AI Core Building BlocksJavaScriptTypeScriptREST API IntegrationPrompt Engineering
Tools & Technologies
CognigySalesforceGenesysAzure OpenAIGPT
Industry Keywords
Conversational AIMulti-Agent PatternsTask OrchestrationFlow BuilderPerformance Monitoring
Tech Stack
Tools & technologiesAzureJavaScriptTypeScript
About the role
Key responsibilities & impact- Move an existing customer solution built on Cognigy low-code toward a fully agentic architecture
- Work with agent-based dialog flows, autonomous task orchestration, and multi-agent/tool-use patterns within Cognigy
- Integrate LLMs and enterprise systems where applicable
- Design, test, and monitor conversational flows
Requirements
What you’ll need- Proven, hands-on experience with Cognigy's Agentic AI / AI Agent capabilities, including agent-based dialog flows, autonomous task orchestration, and multi-agent/tool-use patterns within the Cognigy platform
- Real project experience moving a Cognigy-based solution from traditional low-code flows toward an agentic architecture
- Solid understanding of modern conversational AI and agent architectures in general
- Working knowledge of Cognigy.AI core building blocks (Flow Builder, Intents, Entities, Contexts) (nice to have)
- Experience with LLM integration, including GPT and Azure OpenAI, and prompt engineering for agentic use cases (nice to have)
- Experience with Custom Code Nodes using JavaScript/TypeScript or similar (nice to have)
- REST API integration and enterprise system connectivity, such as Salesforce and Genesys (nice to have)
- Conversational flow design, testing, and performance monitoring (nice to have)